TCGA-E9-A1N3-01Z-00-DX1
收藏arXiv2025-09-30 收录
下载链接：
https://portal.gdc.cancer.gov/image-viewer/MultipleImageViewerPage?caseId=03c143e0-d8a1-4d60-a4a3-df0501fc6b6e
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资源简介：
该数据集是一组用于在隐私保护和成本效益的背景下演示医疗图像处理调度的全幻灯片图像（WSI）。通过使用PriCE算法，该数据集能够将大型的医疗图像分割成子数据集，同时保持隐私和实用性。任务涉及使用深度卷积神经网络在医疗图像中进行伪影检测。
This dataset consists of a collection of whole-slide images (WSI) designed to demonstrate medical image processing scheduling under the contexts of privacy preservation and cost-effectiveness. By leveraging the PriCE algorithm, this dataset enables the partitioning of large-scale medical images into sub-datasets while preserving both privacy and utility. The associated task focuses on artifact detection in medical images using deep convolutional neural networks.
提供机构：
TCGA Research Network
